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r-lassobacktracking

Anaconda Verified

Implementation of the algorithm introduced in Shah, R. D. (2016) <https://www.jmlr.org/papers/volume17/13-515/13-515.pdf>. Data with thousands of predictors can be handled. The algorithm performs sequential Lasso fits on design matrices containing increasing sets of candidate interactions. Previous fits are used to greatly speed up subsequent fits, so the algorithm is very efficient.

Installation

To install this package, run one of the following:

Conda
$conda install r::r-lassobacktracking

Usage Tracking

1.1
0.1.2
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Downloads (Last 6 months): 0

About

Summary

Implementation of the algorithm introduced in Shah, R. D. (2016) <https://www.jmlr.org/papers/volume17/13-515/13-515.pdf>. Data with thousands of predictors can be handled. The algorithm performs sequential Lasso fits on design matrices containing increasing sets of candidate interactions. Previous fits are used to greatly speed up subsequent fits, so the algorithm is very efficient.

Last Updated

Jan 16, 2024 at 21:25

License

GPL-2

Total Downloads

108

Supported Platforms

linux-64